unlearn_cifar10_resnet-34_random_label_10_42

jialicheng/unlearn_cifar10_resnet-34_random_label_10_42

unlearn_cifar10_resnet-34_random_label_10_42 is a image classification model from jialicheng. Use it when you need a label for an image. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
License: apache-2.0
Model type: resnet
Access: Public
Created: Oct 22, 2025
Updated: Oct 22, 2025
SHA: 9c7201eb

Base models

microsoft/resnet-34

Model card

From the Hugging Face model README

42

This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.3131
Accuracy: 0.9293
Dt Accuracy: 0.9293
Df Accuracy: 0.9078
Unlearn Overall Accuracy: 0.3204
Unlearn Time: None

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 32
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
1.4321	1.0	1563	1.0087	0.6536	0	0	None
1.2346	2.0	3126	0.7429	0.7762	0.4623	0.4623	None
1.1178	3.0	4689	0.6378	0.8018	0.4403	0.4403	None
1.0291	4.0	6252	0.5725	0.8274	0.4143	0.4143	None
0.9769	5.0	7815	0.5607	0.8452	0.3945	0.3945	None
0.915	6.0	9378	0.4583	0.8782	0.3565	0.3565	None
0.8725	7.0	10941	0.4185	0.8882	0.3442	0.3442	None
0.8419	8.0	12504	0.3911	0.8962	0.3342	0.3342	None
0.816	9.0	14067	0.3885	0.9024	0.3260	0.3260	None
0.7888	10.0	15630	0.3779	0.9074	0.3193	0.3193	None
0.7589	11.0	17193	0.3590	0.9116	0.3138	0.3138	None
0.7313	12.0	18756	0.3429	0.9176	0.3058	0.3058	None
0.7187	13.0	20319	0.3373	0.9264	0.2936	0.2936	None
0.6987	14.0	21882	0.3391	0.9184	0.3049	0.3049	None
0.6628	15.0	23445	0.3328	0.9196	0.3035	0.3035	None
0.6495	16.0	25008	0.3305	0.92	0.3030	0.3030	None
0.6203	17.0	26571	0.3157	0.915	0.3102	0.3102	None
0.6233	18.0	28134	0.3147	0.9122	0.3142	0.3142	None
0.5928	19.0	29697	0.3078	0.9138	0.3121	0.3121	None
0.5808	20.0	31260	0.3131	0.9078	0.3204	0.3204	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2

Task: Image Classification
Type: resnet
License: apache-2.0
Created: Oct 22, 2025
Updated: Oct 22, 2025